Alternatives and similar repositories for cluster-experiments

Users that are interested in cluster-experiments are comparing it to the libraries listed below

• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆662Updated last week
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 5 months ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆653Updated 9 months ago
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆107Updated last month
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆24Updated last week
• williambdean / pymc-mlflow-example
  MLflow logging for PyMC
  ☆13Updated last month
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆84Updated last year
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆191Updated last year
• py-why / causaltune
  AutoML for causal inference.
  ☆231Updated 10 months ago
• RobKuebler / mamimo
  A package to compute a marketing mix model.
  ☆71Updated 2 years ago
• jgreathouse9 / mlsynth
  This is the repository for the Python library mlsynth
  ☆43Updated 2 weeks ago
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆130Updated last year
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆266Updated 2 weeks ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,046Updated this week
• ostojanovic / causalML
  ☆33Updated last year
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆346Updated last year
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆37Updated last year
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• py-econometrics / pyfixest
  Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
  ☆270Updated this week
• PhilClarkPhD / mmm
  ☆16Updated last year
• facebookincubator / GeoLift
  GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…
  ☆219Updated last month
• google / tfp-causalimpact
  ☆123Updated last year
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆32Updated last week
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆76Updated 6 months ago
• sibylhe / mmm_stan
  Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
  ☆389Updated 3 years ago
• pymc-labs / pymc-marketing
  Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
  ☆960Updated this week
• adrianolszewski / model-based-testing-hypotheses
  Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro…
  ☆84Updated 2 years ago
• AlexAndorra / pydata-berlin-statespace-models
  A Beginner's Guide to State Space Modeling
  ☆17Updated last month
• EmilHvitfeldt / feature-engineering-az
  Source for book "Feature Engineering A-Z"
  ☆150Updated last week
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆87Updated last year